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JOB DESCRIPTION
Collaboration in Virtual Domain-aligned Team:
- Work closely with the Product Owner, Data Scientists/Analysts and other colleagues in agile way towards shared product goals
- Ensure and promote proper data model design and feasibility of data products including AI/ML model training/serving
Continuous Improvement, Technical Excellence and Accountability:
- Follow and enrich data product building blocks and code templates, review and approve changes from contributors
- Follow, select and apply the latest technologies and best practices in data integration and AI/ML aligned with context of our company
Automated Testing, Code Quality and Documentation:
- Implement and maintain quality standards for data products (well-documented, reusable, scalable, performing, DRY)
- Ensure regular testing and validation are implemented as vital part of automated CI/CD
- Monitor and improve the performance and efficiency of data flows
KEY REQUIREMENTS
- Strong experience in Data Engineer, skills in Spark, Kafka, Python, Dbt, Iceberg, Airflow OR Cloud Technologies (AWS/GCP/Azure)
- Demonstrated experience designing dimensional data model, effective algorithms to process data, software engineering principles
- Proficiency in SQL and Python
- Good English & communication
- Good stakeholder management skills
Nice to have:
- Finance/Banking/Ecommerce domain knowledge, especially in Risk, Antifraud, CRM models
- Microservice architecture with Docker and Kubernetes development experience
COMPENSATION & BENEFITS
- 13th salary Fixed and KPI Bonus
- Premium Health Care
- 24/7 Accidental Insurance
- 100% Social Insurance
- Meal + Phone Allowance
- Yearly Medical Checkup
- 15/18 Annual Leaves
- Professional and Transparent Working Environment
- Apply Latest Financial Technology in the World
